Indexed by:
Abstract:
Males have been proposed to be more vulnerable to internet addiction (IA) than females. However, males and females may differ with respect to specific patterns and types of internet usage and related IA. To investigate further, a meta-analysis was conducted to investigate gender-related differences in internet gaming disorder (IGD) and social media addiction (SMA). The current meta-analysis aimed to quantify gender-related effect sizes relating to IGD and SMA, examine potential moderating influences of regions and other possible confounds, and compare the findings with generalized IA at the country level. The meta-analysis comprised 53 effect sizes with 82,440 individuals from 21 countries/regions for IGD, and 41 effect sizes with 58,336 individuals from 22 countries/regions for SMA. A random-effects model confirmed important gender-specific distinctions as men were more likely to exhibit IGD than women (g = 0.479) and less likely to exhibit SMA than women (g = −0.202). Additional moderator analyses revealed that effect sizes of IGD and SMA were larger in Europe and the Americas than in Asia. Further analyses indicated that the effect sizes of gender-related differences in IGD and SMA at the country-level were significantly larger than those in generalized IA, which suggests that gender-related differences in specific IAs may be underestimated in the “umbrella” of generalized IA. Results have implications for explaining why males and females may become addicted to internet use through different pathways. © 2020 Elsevier Ltd
Keyword:
Reprint 's Address:
Email:
Source :
Computers in Human Behavior
ISSN: 0747-5632
Year: 2020
Volume: 113
6 . 8 2 9
JCR@2020
9 . 0 0 0
JCR@2023
ESI HC Threshold:125
JCR Journal Grade:1
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 135
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 0
Affiliated Colleges: